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143 publication entries, 88 of them (printed in bold in the list) acknowledge the project support.
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Paper (reviewed)

Bakker et al. 2012	Bakker, R., Wachtler, T. and Diesmann, M.	CoCoMac 2.0 and the future of tract-tracing databases	Front Neuroinform. (2012) 6: 30. doi:10.3389/fninf.2012.00030	fulltext
Bedard et al. 2011	Bédard, C., Béhuret, S., Deleuze, C., Bal, T. and Destexhe, A.	Oversampling method to extract excitatory and inhibitory conductances from single-trial membrane potential recordings	J Neurosci Meth (2012) 210 (1): 3 - 14 doi:10.1016/j.jneumeth.2011.09.010	fulltext
Behuret et al. 2013	Behuret, S., Deleuze, C., Gomez, L., Fregnac, Y. and Bal, T.	Cortically-Controlled Population Stochastic Facilitation as a Plausible Substrate for Guiding Sensory Transfer across the Thalamic Gateway	PLoS Comput Biol (2013) 9(12): e1003401 doi:10.1371/journal.pcbi.1003401	fulltext
Borgelt et al. 2012	Borgelt, C., Braune, C., Kötter, T. and Grün, S.	New algorithms for finding approximate frequent item sets	Soft Computing (2012) 16(5): 903-917 doi:10.1007/s00500-011-0776-2	abstract, fulltext
Brüderle et al. 2011	Brüderle, D., Petrovici, M. A., Vogginger, B., Ehrlich, M., Pfeil, T., Millner, S., Grübl, A., Wendt, K., Müller, E., Schwartz, M.-O., de Oliveira, D. H., Jeltsch, S., Fieres, J., Schilling, M., Müller, P., Breitwieser, O., Petkov, V., Muller, L., Davison, A. P., Krishnamurthy, P., Kremkow, J., Lundqvist, M., Muller, E., Partzsch, J., Scholze, S., Zühl, L., Mayr, C., Destexhe, A., Diesmann, M., Potjans, T. C., Lansner, A., Schüffny, R., Schemmel, J. and Meier, K.	A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems	Biological Cybernetics (2011) 104(4-5): 263-296 doi:10.1007/s00422-011-0435-9	abstract, fulltext
Chapuis and Tetzlaff 2014	Chapuis, A. and Tetzlaff, T.	The variability of tidewater-glacier calving: origin of event-size and interval distributions	Journal of Glaciology (2014) 60 (222): 622-634 doi:10.3189/2014JoG13J215	abstract
DeFelipe et al. 2013	DeFelipe, J., Lopez-Cruz, P.L., Benavides-Piccione, R., Bielza, C., Larranaga, P., Anderson, S., Burkhalter, A., Cauli, B., Fairen, A., Feldmeyer, D., Fishell, G., Fitzpatrick, D., Freund, T.F., Gonzalez-Burgos, G., Hestrin, S., Hill, S., Hof, P.R., Huang, J., Jones, E.G., Kawaguchi, Y., Kisvarday, Z., Kubota, Y., Lewis, D.A., Marin, O., Markram, H., McBain, C.J., Meyer, H.S., Monyer, H., Nelson, S.B., Rockland, K., Rossier, J., Rubenstein, J.L.R., Rudy, B., Scanziani, M., Shepherd, G.M., Sherwood, C.C., Staiger, J.F., Tamas, G., Thomson, A., Wang, Y., Yuste, R. and Ascoli, G.A.	New insights into the classification and nomenclature of cortical GABAergic interneurons	Nature Reviews Neuroscience (2013) 14: 202-216 doi:10.1038/nrn3444	(fulltext)
Deneux et al. 2012b	Deneux, T., Takerkart, S., Grinvald, A., Masson, G.S. and Vanzetta, I.	A processing work-flow for measuring erythrocytes velocity in extended vascular networks from wide field high-resolution optical imaging data.	Neuroimage (2012) 59: 2569-2588 doi:10.1016/j.neuroimage.2011.08.081	fulltext
Devor et al. 2013	Devor, A., Bandettini, P., Boas, D., Bower, J., Buxton, R., Cohen, L., Dale, A., Einevoll, G., Fox, P., Franceschini, M., Friston, K., Fujimoto, J., Geyer, M., Greenberg, J., Halgren, E., Hamalainen, M., Helmchen, F., Hyman, B., Jasanoff, A., Jernigan, T., Judd, L., Kim, S.-G., Kleinfeld, D., Kopell, N., Kutas, M., Kwong, K., Larkum, M., Lo, E., Magistretti, P., Mandeville, J., Masliah, E., Mitra, P., Mobley, W., Moskowitz, M., Nimmerjahn, A., Reynolds, J., Rosen, B., Salzberg, B., Schaffer, C., Silva, G., So, P., Spitzer, N., Tootell, R., Essen, D. V., Vanduffel, W., Vinogradov, S., Wald, L., Wang, L., Weber, B. and Yodh, A.	The challenge of connecting the dots in the B.R.A.I.N.	Neuron (2013) 80: 270-274 doi:10.1016/j.neuron.2013.09.008	abstract
Einevoll et al. 2012	Einevoll, G. T., Franke, F., Hagen, E., Pouzat, C. and Harris, K. D.	Towards reliable spike-train recordings from thousands of neurons with multielectrodes	Current Opinion in Neurobiology (2012) 22(1): 11-17 doi:10.1016/j.conb.2011.10.001	fulltext
Garcia et al. 2014	Garcia, S., Guarino, D., Jaillet, F., Jennings, T.R., Pröpper, R., Rautenberg, P.L., Rodgers, C., Sobolev, A., Wachtler, T., Yger, P. and Davison, A.P.	Neo: an object model for handling electrophysiology data in multiple formats	Front. Neuroinform. (2014) 8:10 doi:10.3389/fninf.2014.00010	abstract, fulltext
Gomez-Gonzales et al 2014	Gomez-Gonzales, J.F., Destexhe, A. and Bal, T.	Application of active electrode compensation to perform continuous voltage-clamp recordings with sharp microelectrodes	J. Neural Engineering (2014) 11:056028 doi:10.1088/1741-2560/11/5/056028	abstract
Grassia et al. 2011	Grassia, F., Buhry, L., Levi, T., Tomas, J., Destexhe, A. and Saaghi, S.	Tunable neuromimetic integrated system for emulating cortical neuron models	Front. Neurosci. (2011) 5:134 doi:10.3389/fnins.2011.00134
Grytskyy et al. 2013	Grytskyy, D., Tetzlaff, T., Diesmann, M., and Helias, M.	A unified view on weakly correlated recurrent networks	Front Comput Neurosci. (2013) 7:131 doi:10.3389/fncom.2013.00131	fulltext
Grytskyy et al. 2013b	Grytskyy, D., Tetzlaff, T., Diesmann, M. and Helias, M.	A unified view on weakly correlated recurrent networks	Frontiers in computational neuroscience (2013) 7(131): 1-19 doi:10.3389/fncom.2013.00131	fulltext
Hagen et al. 2015b	Hagen, E., Ness, T.V., Khosrowshahi, A., Sørensen, C., Fyhn, M., Hafting, T., Franke, F. and Einevoll, GT.	ViSAPy: A Python tool for biophysics-based generation of virtual spiking activity for evaluation of spike-sorting algorithms	Journal of Neuroscience Methods (2015) 245: 182-204 doi:10.1016/j.jneumeth.2015.01.029	abstract, fulltext
Halnes et al. 2013	G. Halnes, I. Ostby, K.H. Pettersen, S.W. Omholt, and G.T. Einevoll	Electrodiffusive model for astrocytic and neuronal ion concentration dynamics	PLoS Computational Biology (2013) 9:e1003386 doi:10.1371/journal.pcbi.1003386	abstract, fulltext
Heiberg et al 2013	Thomas Heiberg, Birgit Kriener, Tom Tetzlaff, Alex Casti, Gaute T. Einevoll, Hans E. Plesser	Firing-rate models capture essential response dynamics of LGN relay cells	J Comput Neurosci (2013) 35:359-375 doi:10.1007/s10827-013-0456-6	abstract
Helias et al. 2012	Helias, M., Kunkel, S., Masumoto, G., Igarashi, J., Eppler, J. M., Ishii, S., Fukai, T., Morrison, A. and Diesmann, M.	Supercomputers ready for use as discovery machines for neuroscience	Front. Neuroinform. (2012) 6:26 doi:10.3389/fninf.2012.00026	fulltext
Helias et al. 2013	Helias, M., Tetzlaff, T., and Diesmann, M.	Echoes in correlated neural systems	New J. Phys. (2013) 15: 023002 doi:10.1088/1367-2630/15/2/023002	fulltext
Helias et al. 2014	Helias, M., Tetzlaff, T. and Diesmann, M.	The Correlation Structure of Local Neuronal Networks Intrinsically Results from Recurrent Dynamics	PLoS Computational Biology (2014) 10(1): e1003428 doi:10.1371/journal.pcbi.1003428	fulltext
Hennequin et al. 2014	Hennequin, G., Vogels, T.P. and Gerstner, W.	Optimal Control of Transient Dynamics in Balanced Networks Supports Generation of Complex Movements	Neuron (2014) 82: 1394-1406 doi:10.1016/j.neuron.2014.04.045	fulltext
Hennequinet al 2012	Hennequin, G., Vogels, T.P. and Gerstner, W.	Non-normal amplification in random balanced neuronal networks	Physical Review E (2012) 86: 011909 doi:10.1103/PhysRevE.86.011909	fulltext
Indiveri et al. 2011	Indiveri, G., Linares-Barranco, B., Hamilton, T. J., van Schaik, A., Etienne-Cummings, R., Delbruck, T., Liu, S.-C., Dudek, P., Häfliger, P., Renaud, S., Schemmel, J., Cauwenberghs, G., Arthur, J., Hynna, K., Folowosele, F., Saïghi, S., Serrano-Gotarredona, T., Wijekoon, J., Wang, Y. and Boahen, K.	Neuromorphic silicon neuron circuits	Front. Neurosci. (2011) 5:73 doi:10.3389/fnins.2011.00073	fulltext
Kriener et al. 2014	Kriener, B., Enger, H., Tetzlaff, T., Plesser, H.E., Gewaltig, M.-O. and Einevoll, G.T.	Dynamics of self-sustained asynchronous-irregular activity in random networks of spiking neurons with strong synapses	Front. Comput. Neurosci. (2014) 8:136 doi:10.3389/fncom.2014.00136	fulltext
Kriener et al. 2014b	Helias, M., Rotter, S., Diesmann, M. and Einevoll, G. T.	How pattern formation in ring networks of excitatory and inhibitory spiking neurons depends on the input current regime	Frontiers in computational neuroscience (2014) 7: 1 doi:10.3389/fncom.2013.00187	fulltext
Kunkel et al. 2011b	Kunkel, S., Potjans, T.C., Eppler, J.M., Plesser, H.E., Morrison, A. and Diesmann, M.	Meeting the memory challenges of brain-scale network simulation	Front. Neuroinform. (2011) 5:35 doi:10.3389/fninf.2011.00035	abstract
Kunkel et al. 2014	Kunkel, S., Schmidt, M., Eppler, J.M., Plesser, H.E., Masumoto, G., Igarashi, J., Ishii, S., Fukai, T., Morrison, A., Diesmann, M. and Helias, M.	Spiking network simulation code for petascale computers	Front. Neuroinform. (2014) 8:78 doi:10.3389/fninf.2014.00078	abstract, fulltext
Leski et al. 2013	S.Leski, H. Linden, T. Tetzlaff, K.H. Pettersen, G.T. Einevoll	Frequency dependence of signal power and spatial reach of the local field potential	PLoS Computational Biology (2013) 9:e1003137 doi:10.1371/journal.pcbi.1003137	abstract, fulltext
Leskiet al 2013	Łeski, S., Lindén, H., Tetzlaff, T., Pettersen, K. H. and Einevoll, G. T.	Frequency Dependence of Signal Power and Spatial Reach of the Local Field Potential	PLoS Computational Biology (2013) 9(7): e1003137 doi:10.1371/journal.pcbi.1003137	fulltext
Lindén et al. 2011	Lindén, H., Tetzlaff, T., Potjans, T.C., Pettersen, K.H., Grün, S., Diesmann, M. and Einevoll, G.T.	Modeling the spatial reach of the LFP	Neuron (2011) 72(5): 859-872 doi:10.1016/j.neuron.2011.11.006	fulltext
Linden et al. 2014	Lindén, H., Hagen, E., Łeski, S., Norheim, E. S., Pettersen, K. H. and Einevoll, G. T.	LFPy: a tool for biophysical simulation of extracellular potentials generated by detailed model neurons	Front. Neuroinform. (2014) 7:41 doi:10.3389/fninf.2013.00041	abstract, fulltext
Milekovic et al. 2015	Milekovic, T., Truccolo, W., Grün, S., Riehle, A. and Brochier, T.	Local field potentials in primate motor cortex encode grasp kinetic parameters	Neuroimage (2015) 114: 338-355 doi:10.1016/j.neuroimage.2015.04.008	fulltext
Pettersen et al 2014	Pettersen, K.H., Linden, H., Tetzlaff, T. and Einevoll, G.T.	Power Laws from Linear Neuronal Cable Theory: Power Spectral Densities of the Soma Potential, Soma Membrane Current and Single-Neuron Contribution to the EEG	PLoS Computational Biology (2014) 10(11): e1003928 doi:10.1371/journal.pcbi.1003928	fulltext
Pfeil et al. 2012	Pfeil, T., Grübl, A., Jeltsch, S., Müller, E., Müller, P., Petrovici, M., Schmuker, M., Brüderle, D., Schemmel, J. and Meier, K.	Six networks on a universal neuromorphic computing substrate	Front. Neurosci. (2013) 7:11 (Pre-print: http://arxiv.org/abs/1210.7083) doi:10.3389/fnins.2013.00011	abstract
Pfeil et al. 2012b	Pfeil, T., Potjans, T. C., Schrader, S., Potjans, W., Schemmel, J., Diesmann, M. and Meier, K.	Is a 4-bit synaptic weight resolution enough? - constraints on enabling spike-timing dependent plasticity in neuromorphic hardware	Front. Neurosci. (2012) 6:90 doi:10.3389/fnins.2012.00090	abstract, fulltext
Potjans and Diesmann 2012	Potjans, T. and Diesmann, M.	The Cell-Type Specific Cortical Microcircuit: Relating Structure and Activity in a Full-Scale Spiking Network Model	First published online: December 2, 2012. Cereb. Cortex (2014) 24 (3): 785-806 doi:10.1093/cercor/bhs358	abstract, fulltext
Riehle et al. 2013	Riehle, A., Wirtssohn, S., Grün, S. and Brochier, T.	Mapping the spatio-temporal structure of motor cortical LFP and spiking activities during reach-to-grasp movements	Front. Neural Circuits (2013) 7:48 doi:10.3389/fncir.2013.00048	fulltext
Rostro-Gonzalez et al. 2012	Rostro-Gonzalez, H., Cessac, B. and Viéville, T.	Parameters estimation in spiking neural networks: a reverse-engineering approach	J. Neural. Eng. (2012) 9: 026024 doi:10.1088/1741-2560/9/2/026024	abstract, fulltext, BibTeX
Schmuker et al. 2014	Schmuker, M., Pfeil, T. and Nawrot, M. P.	A neuromorphic network for generic multivariate data classification	PNAS (2014) 111(6): 2081-2086 doi:10.1073/pnas.1303053111	abstract, fulltext
Self et al. 2013	Self, M.W., van Kerkoerle, T., Supèr, H. & Roelfsema, P.R.	Distinct roles of the cortical layers of area V1 in figure-ground segregation	Curr. Biol. (2013) 23: 2121-2129 doi:10.1016/j.cub.2013.09.013	abstract
Tetzlaff et al. 2012	Tetzlaff, T., Helias, M., Einevoll, G. T. and Diesmann, M.	Decorrelation of Neural-Network Activity by Inhibitory Feedback	PLoS Comput Biol (2012) 8(8): e1002596 doi:10.1371/journal.pcbi.1002596	fulltext
van Kerkoerle et al. 2014	van Kerkoerle, T., Self, M.W., Dagnino, B., Gariel-Mathis, M.-A., Poort, J., van der Togt, C. and Roelfsema, P.R.	Alpha and gamma oscillations characterize feedback and feedforward processing in monkey visual cortex	PNAS (2014) 111(40): 14332-14341 doi:10.1073/pnas.1402773111	abstract, fulltext
Vlachos et al. 2013	Vlachos A, Helias M, Becker D, Diesmann M, Deller T.	NMDA-receptor inhibition increases spine stability of denervated mouse dentate granule cells and accelerates spine density recovery following entorhinal denervation in vitro	Neurobiol Dis. (2013) ;59:267-76. doi:10.1016/j.nbd.2013.07.018
Vogels et al 2013	T. P. Vogels, R. C. Froemke, N. Doyon, M. Gilson, J. S. Haas, R. Liu, A. Maffei, P. Miller, C. J. Wierenga, M. A. Woodin, F. Zenke and H. Sprekeler	Inhibitory synaptic plasticity: spike timing-dependence and putative network function	Frontiers In Neural Circuits (2013) : 7 doi:10.3389/fncir.2013.00119	fulltext
Wagatsuma et al. 2011	Wagatsuma, N., Potjans, T.C., Diesmann, M. and Fukai, T.	Layer-dependent attentional processing by top-down signals in a visual cortical microcircuit model	Front. Comput. Neurosci. (2011) 5:31 doi:10.3389/fncom.2011.00031	abstract, fulltext
Yousaf et al. 2013	M. Yousaf, B. Kriener, J. Wyller, G.T. Einevoll	Generation and annihilation of localized persistent-activity states in a two-population neural-field model	Neural Networks (2013) 46}:75-90 doi:10.1016/j.neunet.2013.04.012	abstract
Yousaf et al. 2013b	M. Yousaf, J. Wyller, T. Tetzlaff, G.T. Einevoll	Effect of localized input on bump solutions in a two-population neural-field model	Nonlinear Analysis Series B: Real World Applications (2013) 14:997-1025 doi:10.1016/j.nonrwa.2012.08.013	abstract

Review

Einevoll et al. 2013

G.T. Einevoll, C. Kayser, N. Logothetis, and S. Panzeri

Modeling and analysis of local field potentials for studying the function of cortical circuits

Nature Reviews Neuroscience (2013) 14:770-785 doi:10.1038/nrn3599

abstract, (fulltext), BibTeX

Book chapter

Devor et al. 2012	Devor, A., Boas, D.A., Einevoll, G.T., Buxton, R.B. and Dale, A.M.	Neuronal Basis of Non-Invasive Functional Imaging: From Microscopic Neurovascular Dynamics to BOLD fMRI	Advances in Neurobiology (2012) 4: 433-500 doi:10.1007/978-1-4614-1788-0_15	abstract
Einevoll et al. 2013b	G.T. Einevoll, H. Linden, T. Tetzlaff, S. Leski, K.H. Pettersen	Local field potential: biophysical origin and analysis	Principles of Neural Coding, pp. 37-59, edited by R. Quian Quiroga and S. Panzeri, CRC Press, 2013
Einevoll et al. 2013d	Einevoll, G., Lindén, H., Tetzlaff, T., Leski, S., and Pettersen, K.	Local field potentials: biophysical origin and analysis	in Quiroga and Panzeri (ed.) Principles of Neural Coding. Taylor & Francis CRC Press (2013): 37-59
Pettersen et al. 2012	Pettersen, K.H., Linden, H., Dale, A.M. and Einevoll, G.T.	Extracellular spikes and CSD	Handbook of Neural Activity Measurement, edited by R. Brette and A. Destexhe, Cambridge, 2012: 92-135 Book URL: http://www.cambridge.org/gb/knowledge/isbn/item6698760/?site_locale=en_GB
Pettersen et al. 2013	Pettersen, K. H., Linden, H., Dale, A.M. and Einevoll, G. T.	Extracellular spikes and current-source density	in Handbook of Neural Activity Measurement, edited by Romain Brette and Alain Destexhe, ISBN: 9780521516228, Published September 2012	fulltext

Conference contribution: talk

Denker et al. 2012b	Denker, M., Zehl, L., Brochier, T., Grün, S., Riehle, A.	Comparing the spatio-temporal organization of joint spiking and local field potential oscillations in motor cortex	Twenty First Annual Computational Neuroscience Meeting: CNS*2012, Decatur, GA, USA; BMC Neuroscience 2012, 13(Suppl 1):P127 doi:10.1186/1471-2202-13-S1-P127	abstract
Denker et al. 2014	Denker, M., Abrams, M., Wachtler, T., Davison, A. and Grün, S.	INCF workshop report: New perspectives on workflows and data management for the analysis of electrophysiological data.	Neuroinformatics 2014, Leiden, Netherlands, 08/25/2014 - 08/27/2014 doi:10.3389/conf.fninf.2014.18.00021	abstract
Denker et al. 2014b	Denker, M., Zehl, L., Yegenoglu, A., Wachtler, T., Davison, A. and Grün, S.	Improving Workflows and Data Management for the Analysis of Electrophysiological Data	Advances in Neuroinformatics 2014, AINI2014, Wako-shi, Japan, 09/25/2014 - 09/26/2014
Einevoll 2013a	Gaute T. Einevoll	How local is the local field potential?	BioQuest 2013, Amritapuri, India, 11.-14.08.2013. Invited
Einevoll 2013b	Gaute T. Einevoll	How do spike correlations affect the measured local field potential (LFP)?	"Network neuroscience: Structure and dynamics". Workshop associated with CNS*2013, Paris 17.-18.07.2013
Einevoll 2013c	Gaute T. Einevoll	How do spike correlations affect the measured cortical local eld potential (LFP)?	BCCN Freiburg Conference: "Dynamics of neuronal systems", Freiburg, 18.-20.03.2013. Invited.
Einevoll 2013d	Gaute T. Einevoll	Modeling what you can measure in the brain with modern multielectrodes	ECMS 2013 European Conference on Modelling and Simulation, NEUROSIM track, Aalesund, 27.-30.05.2013
Einevoll et al. 2013c	Einevoll, G. T., Leski, S. and Hagen, E.	Tutorial on LFPy: T3: Modeling and interpretation of extracellular potentials	CNS 2013, Paris, France	abstract
Grytskyy et al. 2012	Grytskyy, D., Tetzlaff, T., Diesmann, M. and Helias, M.	Unifying propagators and covariances of network models by Ornstein-Uhlenbeck process	12th Granada* Seminar - Physics, Computation and the Mind - Advances and Challenges at Interfaces ; La Herradura ; Spain ; 09/17/2012 - 09/21/2012	abstract
Grytskyy et al. 2012b	Grytskyy, D., Tetzlaff, T., Diesmann, M. and Helias, M.	Unification of covariances in different neuron network models through the mapping onto Ornstein-Uhlenbeck process	Applied Mathematics, Control and Informatics, Belgorod, Russia, 10/03/2012 - 10/05/2012
Grytskyyet al 2013c	Grytskyy, D. ; Tetzlaff, T. ; Diesmann, M. ; Helias, M.	Covariances in neural networks in linear approximation	Donders Discussion 2013, Nijmegen, Netherlands, 10/31/2013 - 11/01/2013
Nowke et al. 2013	Nowke, C., Schmidt, M., van Albada, S. J., Eppler, J. M., Bakker, R., Diesmann, M., Hentschel, B. and Kuhlen, T.	VisNEST - Interactive Analysis of Neural Activity Data	BioVis Symposium at the IEEE BioVis 2013, 13-18 Oct. 2013, Atlanta, Georgia, USA
Potjans Tet al 2013	Potjans, T. C. ; Diesmann, M.	A minimal cell-type specific model of the cortical microcircuit	Dynamics of Neuronal Systems, Freiburg, Germany, 03/18/2013 - 03/20/2013
Tetzlaffet al 2013	Tetzlaff, T. ; Helias, M. ; Jordan, J. ; Petrovici, M. ; Breitwieser, O. ; Diesmann, M.	Decorrelation of neural-network activity by inhibitory feedback: Mechanism and applications	22nd Annual Computational Neuroscience Meeting (CNS*2013), workshop on "Functional role of correlations: theory and experiment", CNS13, Paris, France, 07/13/2013 - 07/18/2013

Conference contribution: poster

Bachmannet al 2013	Bachmann, C. ; Tetzlaff, T. ; Kunkel, S. ; Bamberger, P. ; Morrison, A.	Computational characteristics of recurrent neural networks under the influence of Alzheimer's disease	10th Göttingen Meeting of the German Neuroscience Society, Göttingen, Germany, 03/13/2013 - 03/16/2013
Bachmannet al 2013b	Bachmann, C., Tetzlaff, T., Kunkel, S., Bamberger, P. and Morrison, A.	Effect of Alzheimer's disease on the dynamical and computational characteristics of recurrent neural networks	22nd Annual Computational Neuroscience Meeting, CNS*2013, Paris, France, 07/13/2013 - 07/18/2013
Bachmannet al 2015	Bachmann, C. ; Tetzlaff, T. ; Kunkel, S. ; Morrison, A.	Effect of Alzheimer disease on the dynamical and computational characteristics of recurrent neural networks	11th Göttingen Meeting of the German Neuroscience Society, Göttingen, Germany, 03/18/2015 - 03/28/2015
Bakkeret al 2012	Bakker, R. ; Denker, M. ; Diesmann, M. ; Eppler, J. M. ; Grün, S. ; Grytskyy, D. ; Helias, M. ; Ito, J. ; Maximov, A. ; Schmidt, M. ; Tetzlaff, T. ; Torre, E. ; van Albada, S. ; Wiebelt, B. ; Zehl, L.	Planned activities in Jülich	BrainScales Conference, Jülich, Germany, 03/19/2012
Bakkeret al 2013	Bakker, R. ; Paul H. E. , T. ; Diesmann, M. ; Thomas, W.	Setting up a web-based neuroscience database has never been easier: The CoCoMac engine goes open source	Neuroinformatics 2013, INCF2013, Stockholm, Sweden, 08/27/2013 - 08/29/2013
Bos et al. 2014	Bos, H., Schmidt, M., Jordan, J., Schücker, J., van Albada, S., Bakker, R., Diesmann, M., Helias, M. and Tetzlaff, T.	Cortical multi-layered, multi-area networks as a substrate for stochastic computing	HBP Workshop on Stochastic Neural Computation, Paris, France, 11/27/2014 - 11/28/2014
Dahmen et al. 2013	Dahmen, D., Hagen, E., Stavrinou, M. L., Linden, H., Tetzlaff, T., van Albada, S., Diesmann, M., Grün, S. and Einevoll, G. T.	From spiking point-neuron networks to LFPs: a hybrid approach	Bernstein Conference, 25-27 September 2013, Tübingen, Germany
Dahmen et al. 2014	Dahmen, D., Hagen, E., Stavrinou, M.L., Lindén, H., Tetzlaff, T., van Albada, S., Diesmann, M., Grün, S. and Einevoll, G.T.	Computing local-field potentials based on a point-neuron network model of cat V1	SFN Neuroscience 2014, Washington, D.C., United States of America, 11/15/2014 - 11/19/2014
Davison et al. 2013b	Davison, A.P., Brizzi, T., Guarino, D., Manette, O.F., Monier, C., Sadoc, G. and Frégnac, Y.	Helmholtz: a customizable framework for neurophysiology data management	Neuroinformatics 2013, Stockholm, Sweden, 27 Aug - 29 Aug, (2013) doi:10.3389/conf.fninf.2013.09.00025	abstract
Deneux et al. 2012	Deneux, T., Sanz-Leon, P., Masquelier, T., Masson, G. S., Deco, G. and Vanzetta, I.	(2012) The spatiotemporal structure of ongoing and evoked activity investigated using optical imaging of voltage sensitive dyes in awake monkey V4	AREADNE Meeting, Juin 2012, Santorini, Greece (2012)
Denker et al. 2011d	Denker, M., Wirtssohn, S., Brochier, T., Grün, S. and Riehle, A.	Mapping the synchronization structure of LFP activity in motor cortex	Poster at the Ninth Göttingen Meeting of the German Neuroscience Society 2011: T21-9B	abstract
Denker et al. 2011e	Denker, M., Brochier, T., Grün, S. and Riehle, A.	Spatial synchronization structure of field potentials and spikes in a delayed grip task	Front. Comput. Neurosci. (2011) Conference Abstract: BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011 doi:10.3389/conf.fncom.2011.53.00103	abstract
Denker et al. 2012	Denker, M., Zehl, L., Brochier, T., Riehle, A. and Grün, S.	Spatial organization of joint spiking and local field potential coherence in motor cortex.	Poster contribution at conference Neurovisionen 8; Aachen, Germany; 10/26/2012.
Denker et al. 2012c	Denker, M., Zehl, L., Brochier, T., Grün, S., Riehle, A.	Spatial organization of synchronized activity expressed by joint spiking and local field potentials in motor cortex	8th FENS Forum of European Neuroscience 2012, Barcelona, Spain	abstract
Denker et al. 2014a	Zehl, L., Kilavik, B., Diesmann, M., Brochier, T., Riehle, A. and Grün, S.	Characterizing spatially organized LFP beta oscillations in the macaque motor cortex	AREADNE 2014, Santorini, Greece, 06/25/2014 - 06/29/2014
Denker et al. 2015	Denker, M., Yegenoglu, A., Holstein, D., Torre, E., Jennings, T., Davison, A. and Grün, S.	elephant: An open-source tool for the analysis of electrophysiological data	Proceedings of the 11th Meeting of the German Neuroscience Society, Neuroforum (2015) T27-2B
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Eppler et al. 2011b	Eppler, J.M., Enger, H., Heiberg, T., Kriener, B., Plesser, H.E., Diesmann, M. and Djurfeldt, M.	Evaluating the Connection-Set Algebra for the neural simulator NEST	Poster at the 4th INCF Congress of Neuroinformatics, Boston, USA doi:10.3389/conf.fninf.2011.08.00085	abstract
Galluppi et al. 2012	Galluppi, F., Davies, S., Rast, A., Sharp, T., Plana, L. A. and Furber, S.	A hierachical configuration system for a massively parallel neural hardware platform	CF '12 Proceedings of the 9th conference on Computing Frontiers, Cagliari (2012): 183-192 doi:10.1145/2212908.2212934	abstract, fulltext
Grytskyy et al. 2012c	Grytskyy, D., Helias, M., Tetzlaff, T., Diesmann, M.	Taming the model zoo: a unified view on correlations in recurrent networks	Twenty First Annual Computational Neuroscience Meeting, Decatur, GA, USA; BMC Neuroscience 2012, 13(Suppl 1):P147. doi:10.1186/1471-2202-13-S1-P147	abstract
Grytskyy et al. 2012d	Grytskyy, D., Helias, M., Tetzlaff, T., Diesmann, M.	Ornstein-Uhlenbeck-process joins and extends different theories of correlations	Bernstein Conference 2012, Munich, Germany; Front Comp Neurosci 6 (2012) doi:10.3389/conf.fncom.2012.55.00101	abstract
Grytskyy et al. 2012e	Grytskyy, D., Tetzlaff, T., Diesmann, M. and Helias, M.	Invariance of covariances arises out of noise	AIP Conf. Proc. (2013) 1510: 258 doi:10.1063/1.4776531	abstract
Hageet al 2013	Hagen, E. ; Stavrinou, M. ; Lindén, H. ; Dahmen, D. ; Tetzlaff, T. ; van Albada, S. ; Grün, S. ; Diesmann, M. ; Einevoll, G. T.	Hybrid scheme for modeling LFPs from spiking cortical network models	Proceedings of NeuroInformatics 2013 NeuroInformatics 2013, Stockholm, Sweden, 08/27/2013 - 08/29/2013
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Heiberg et al 2013a	T. Heiberg, B. Kriener, T. Tetzlaff, G. T. Einevoll, and H. E. Plesser	Firing-rate models for neurons with a broad repertoire of spiking behaviors.	BMC Neuroscience (2013) 14(Suppl 1):P317 doi:10.1186/1471-2202-14-S1-P317	abstract
Helias et al. 2011b	Helias, M., Tetzlaff, T. and Diesmann, M.	Towards a unified theory of correlations in recurrent neural networks	BMC Neuroscience 2011, 12(Suppl 1):P73 doi:10.1186/1471-2202-12-S1-P73	fulltext
Helias et al. 2011c	Helias, M., Grytskyy, D., Tetzlaff, T. and Diesmann, M.	Model-invariant features of correlations in recurrent networks	Front. Comput. Neurosci. (2011) Conference Abstract: BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011 doi:10.3389/conf.fncom.2011.53.00219	abstract
Helias et al. 2012a	Helias, M., Kunkel, S., Eppler, J., Masumoto, G., Igarashi, J., Ishii, S., Fukai, T., Morrison, A. and Diesmann, M.	Spiking neuronal network simulation technology for contemporary supercomputers	INCF Meeting, 10-12 Sept 2012, Munich, Germany
Heliaset al 2013	Helias, M. ; Tetzlaff, T. ; Diesmann, M.	Intrinsic and extrinsic sources of correlated activity in recurrent networks	10th Goettingen meeting of the German neuroscience Society, NWG 2013, Goettingen, Germany, 03/13/2013 - 03/16/2013
Heliaset al 2013b	Helias, M. ; Tetzlaff, T. ; Diesmann, M.	Recurrence and external sources differentially shape network correlations.	Computational Neuroscience Conference 2013, CNS*2013, Paris, France, 07/13/2013 - 07/18/2013
Jordanet al 2013	Jordan, J. ; Tetzlaff, T. ; Breitwieser, O. ; Petrovici, M. ; Schemmel, J. ; Diesmann, M. ; Meier, K.	Generation of uncorrelated noise by recurrent neural networks	3rd BrainScaleS Plenary meeting, Marseille, France, 03/21/2013 - 03/22/2013
Jordanet al 2013b	Jordan, J. ; Tetzlaff, T. ; Breitwieser, O. ; Petrovici, M. ; Schemmel, J. ; Diesmann, M. ; Meier, K.	Generation of uncorrelated noise by recurrent neural networks	10th Goettingen Meeting of the German Neuroscience Society, Goettingen, Germany, 03/13/2013 - 03/16/2013
Jordanet al 2015	Jordan, J. ; Pfeil, T. ; Tetzlaff, T. ; Grübl, A. ; Schemmel, J. ; Diesmann, M. ; Meier, K.	The effect of heterogeneity on decorrelation mechanisms in spiking neural networks: a neuromorphic-hardware study	11th Göttingen Meeting of the German Neuroscience Society, Göttingen, Germany, 03/18/2015 - 03/21/2015
Jordanet al. 2014b	Jordan, J., Petrovici, M., Pfeil, T., Breitwieser, O., Bytschok, I., Bill, J., Gruebl, A., Schemmel, J., Meier, K., Diesmann, M. and Tetzlaff, T.	Neural Networks as Sources of uncorrelated Noise for functional neural Systems	OCCAM 2014, Osnabrueck, Germany, 05/07/2014 - 05/09/2014
Kisvarday and Uddin 2013	Kisvarday, Z. and Uddin, T.	An approach to increase the yield of physiologically characterized and intracellularly labeled neurons in cortical areas exposed for intrinsic signal optical imaging in the primary visual cortex of the cat	Poster Presented at the XIV Annual Conference of the Hungarian Neuroscience Society, Budapest, HU (2013)	abstract
Kriener et al 2013	B. Kriener, H. Enger, T. Tetzlaff, H. E. Plesser, M.-O. Gewaltig, and G. T. Einevoll.	Dynamics and lifetime of persistent activity states in random networks of spiking neurons with strong synapses.	BMC Neuroscience (2013) 14(Suppl 1):P121	abstract
Krieneret al 2013	Kriener, B. ; Helias, M. ; Rotter, S. ; Diesmann, M. ; Einevoll, G. T.	How pattern formation in ring networks of excitatory and inhibitory spiking neurons depends on the input current regime	Computational Neuroscience Conference, CNS*2013, Paris, France, 07/13/2013 - 07/18/2013
Kunkel et al 2013	S. Kunkel, M. Schmidt, J. M. Eppler, H. E. Plesser, J. Igarashi, G. Masumoto, T. Fukai, S. Ishii, A. Morrison, M. Diesmann, and M. Helias.	From laptops to supercomputers: a single highly scalable code base for spiking neuronal network simulations.	BMC Neuroscience (2013) 14(Suppl 1):P163 doi:10.1186/1471-2202-14-S1-P163	abstract
Kunkelet al 2013b	Kunkel, S. ; Schmidt, M. ; Eppler, J. M. ; Igarashi, J. ; Masumoto, G. ; Fukai, T. ; Ishii, S. ; Plesser, H. E. ; Morrison, A. ; Diesmann, M. ; Helias, M.	Supercomputers ready for use as discovery machines for neuroscience	10th Meeting of the German Neuroscience Society, NWG 2013, Goettingen, Germany, 03/13/2013 - 03/18/2013
Lindén et al. 2011b	Lindén, H., Tetzlaff, T., Potjans, T.C., Pettersen, K.H., Grün, S., Diesmann, M. and Einevoll, G.T.	How local is the local field potential?	BMC Neuroscience 2011, 12(Suppl 1):O8 doi:10.1186/1471-2202-12-S1-O	fulltext
Linden et al. 2014a	Lindén, H. and Tetzlaff, T.	Conditions for fluctuation-driven attractor states and the role of inhibition	10th Bernstein Conference 2014, Goettingen, Goettingen, Germany, 09/02/2014 - 09/05/2014 doi:10.12751/nncn.bc2014.0274	fulltext
Ness et al. 2012	Ness, T.B., Hagen, E., Negwer, M., Bakker, R., Schubert, D. and Einevoll, G.T.	Modeling extracellular spikes and local field potentials recorded in MEAs	Proceedings of the 8th international meeting on Multielectrode Arrays, Reutlingen (2012)
Nowke et al. 2012b	Nowke, C., Hentschel, B., Kuhlen, T., Eppler, J.M., van Albada, S., Bakker, R., Diesmann, M., Schmidt, M.	VisNEST - Interactive analysis of neural activity data	IEEE VisWeek 2012	abstract
Nowke et al. 2013b	Nowke, C., Schmidt, M., van Albada, S., Eppler, J., Bakker, R., Diesmann, M., Hentschel, B. and Kuhlen, T.	Interactive visualization of brain-scale spiking activity	Annual CNS Meeting 2013, BMC Neuroscience 2013, 14(Suppl 1):P110
Nowkeet al 2013	Nowke, C. ; Hentschel, B. ; Kuhlen, T. ; Schmidt, M. ; van Albada, S. ; Eppler, J. M. ; Bakker, R. ; Diesmann, M.	Interactive visualization of brain-scale spiking activity	Twenty Second Annual Computational Neuroscience Meeting, CNS 2013, Paris, France, 07/13/2013 - 07/18/2013
Pfeil el al. 2013	Pfeil, T., Scherzer, A.-C., Schemmel, J. and Meier, K.	Neuromorphic learning towards nano second precision	Neural Networks (IJCNN), The 2013 International Joint Conference on (2013): 1-5 doi:10.1109/IJCNN.2013.6706828	abstract, fulltext
Pfeilet al 2014	Pfeil, T., Jordan, J., Tetzlaff, T., Grübl, A., Schemmel, J., Diesmann, M. and Meier, K.	Decorrelation of neural-network activity on heterogeneous neuromorphic hardware	10th Bernstein Conference 2014, Goettingen, Goettingen, Germany, 09/02/2014 - 09/05/2014 doi:10.12751/nncn.bc2014.0221	abstract
Potjans and Diesmann 2011b	Potjans, T.C. and Diesmann, M.	Robustness vs. flexibility: how do external inputs shape the activity in a data-based layered cortical network model?	BMC Neuroscience (2011) 12(Suppl 1):74 doi:10.1186/1471-2202-12-S1-P74	fulltext
Potjans et al. 2011	Potjans, T.C., Kunkel, S., Morrison, A., Plesser, H.E. and Diesmann, M.	Beyond local cortical network modeling: linking microscopic and macroscopic connectivity in brainscale simulations	Poster at the Ninth Göttingen Meeting of the German Neuroscience Society 2011: T26-6A	abstract
Stavrinou et al. 2015	Stavrinou, M.L., Hagen, E., Dahmen, D., Linden, H., Tetzlaff, T., van Albada, S., Diesmann, M., Grün, S. and Einevoll, G.T.	Computing local field potentials based on spiking cortical networks	Neuro Informatics 2014, Leiden, Netherlands, 08/25/2014 - 08/27/2014
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Tetzlaff et al. 2014b	Tetzlaff, T., Dahmen, D., Hagen, E., Stavrinou, M.L., Lindén, H., van Albada, S., Diesmann, M., Grün, S. and Einevoll, G.T.	Computing local-field potentials based on a point-neuron network model of cat V1	NeuroVisionen 10 meeting, Jülich, Germany, 09/26/2014 - 09/26/2014
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Wagatsuma et al. 2011b	Wagatsuma, N., Potjans, T.C., Diesmann, M. and Fukai, T.	Layer dependent neural modulation of a realistic layered-microcircuit model in visual cortex based on bottom-up and top-down signals	BMC Neuroscience 2011, 12(Suppl 1):P114 doi:10.1186/1471-2202-12-S1-P114	fulltext
Wirtssohn et al. 2011	Wirtssohn, S., Brochier, T., Denker, M., Grün, S. and Riehle, A.	Mapping the spatial structure of LFP activity in motor cortex	Poster at the Ninth Göttingen Meeting of the German Neuroscience Society 2011: T21-8B	abstract
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Web publication

Nowke et al. 2013c	Nowke, C., Schmidt, M., van Albada, S., Eppler, J., Bakker, R., Diesmann, M., Hentschel, B. and Kuhlen, T.	VisNEST - Interactive analysis of neural activity data	Video posted on vimeo: http://vimeo.com/82512745	fulltext
Potjans and Diesmann 2011	Potjans, T.C. and Diesmann, M.	The cell-type specific connectivity of the local cortical network explains prominent features of neuronal activity	arXiv:1106.5678v1 [q-bio.NC] 28 Jun 2011	abstract
van Albada et al. 2014b	Van Albada, S., Diesmann, M., Eppler, J.M., Hentschel, B., Kuhlen, T.. Nowke, C., Reske, M. and Schmidt, M.	Modellierung und 3D-Visualisierung neuronaler Netzwerke in der Grössenordnung des Gehirns	RWTH Themen (2014) 2: 52-57	fulltext
Veltz and Sejnowski 2014	Veltz, R. and Sejnowski, T.J.	Periodic forcing of stabilized E-I networks: Nonlinear resonance curves and dynamics	Research report, INRIA Sophia Antipolis (2014):hal-01096590	fulltext

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